FrontierCS 2 - Reusable Library Candidates: leaderboard

FrontierCS 2 selected formal runs on 48 research engineering tasks, with each source-native coding harness. Paper v1 Table 3 fixes the effort settings; the subsequently added DeepSeek 1017 row leaves effort unspecified. Superseded attempts are not selected by score. Native bounded task scores are distinct from human-reference margins and from pass/fail verdicts. Explicit failed-run zeroes remain zero; unreported scores remain missing. Metric: Task score (0–100).

Metric: Task score (0–100). Source: frontier-cs.org. Saturation forecast: Around 2032. 14 models tracked.

Top models

#ModelScoreOverall rank
1DeepSeek V4.1 Flash (Max)19.35#35 (DeepSeek V4.1 Flash)
2GLM-5.3 Flash (Max)19.11#72 (GLM-5.3 Flash)
3GPT-6.1 Sol (xHigh)18.94#7 (GPT-6.1 Sol)
4Claude Opus 5.5 (Max)18.89#5 (Claude Opus 5.5)
5Gemini 4 Argon (High)18.64#8 (Gemini 4 Argon)
6GLM-5.3 (Max)18.34#39 (GLM-5.3)
7GPT-6 Astra (xHigh)17.97#6 (GPT-6 Astra)
8Kimi K3 (High)17.68#33 (Kimi K3)
9Muse Wonder (Max)17.35#15 (Muse Wonder)
10Muse Spark 1.3 (High)15.08#29 (Muse Spark 1.3)
11DeepSeek V4.1 Flash (1017)0#27

No result here: #9 Claude Fable 5.1, #10 Muse Wonder Full.

Interactive version: theaggregate.ai/benchmark?slug=frontiercs-2-reusable-library-candidates · How It Works · Data refreshed daily, snapshot 2026-10-26.